摘要
在色彩管理中,总是要进行色空间的转换,而这种色域变换是一个非线性的复杂过程。为了更好的实现这种转换,通过对训练方法、传递函数、隐层数及隐层单元数的比较,最后得出一个较理想的CMYK到Lab色空间转换的BP神经网络模型。
In color management process, the color space conversion is necessary. But this gamut mapping is a nonlineary and complicated process. In order to realize better conversion, different training methods, conversion functions, hidden layer number, and neuron number of hidden layer were compared. A better BP neural network model to convert CMYK to Lab color space was obtained.
出处
《包装工程》
CAS
CSCD
北大核心
2008年第3期84-86,共3页
Packaging Engineering
关键词
色空间转换
神经网络
屏幕
色彩管理
color space conversion
neural network
screen
color management
